software
Continue vs Tabnine 2026: AI Code Completion
Continue is an open-source IDE extension focused on local LLM integration with privacy, while Tabnine is a commercial AI code completion platform using proprietary models with stronger enterprise support and faster inference speeds.
C
Continue
Open-source AI code completion IDE extension with local and remote model support
Developers prioritizing privacy, open-source contributors, teams with strict data governance requirements, and users wanting free AI assistance
Score63%
VS
T
Tabnine
Enterprise-focused AI code completion supporting 22+ languages with flexible deployment options.
Enterprise teams, regulated industries, developers needing fast inference, organizations with team collaboration requirements
Score63%
143 attributes7 differences16 pros/cons
Quick Answer
AI SummaryContinue is an open-source IDE extension focused on local LLM integration with privacy, while Tabnine is a commercial AI code completion platform using proprietary models with stronger enterprise support and faster inference speeds.
Our Verdict
AI-assistedChoose Continue if you prioritize privacy, want free access, and can tolerate slightly slower completions with local LLM processing. Choose Tabnine if you need enterprise-grade deployment, faster inference speeds, team collaboration features, and don't have strict data residency requirements.
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C
Continue
7.9/10
Tabnine
7.1/10
T
C
Choose Continue if
Best pickDevelopers prioritizing privacy, open-source contributors, teams with strict data governance requirements, and users wanting free AI assistance
T
Choose Tabnine if
Enterprise teams, regulated industries, developers needing fast inference, organizations with team collaboration requirements
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Key Differences at a Glance
- Deployment Model:✓ Continue wins(Local/Self-hosted + Cloud vs Cloud-based SaaS)
- Pricing Model:✓ Continue wins(Free (open-source) vs $25-40/month (Pro tier))
- LLM Support:Multiple open-source models (Llama 2, Mistral, CodeStral) vs Proprietary + GPT-4 integration
Key Facts & Figures
87 numeric metrics compared
| Metric | Continue | Tabnine | Ratio |
|---|---|---|---|
| Initial Setup Time(minutes) | 10-20 (API key + config required) | — | — |
| Autocomplete Latency(milliseconds) | 200-500ms average | — | — |
| Context Window Size(tokens) | Up to 100,000+ tokens | 2,048 tokens | |
| Supported IDEs Count(IDEs) | VS Code, JetBrains suite, Vim, Neovim (4 major platforms) | — | — |
| Paid Plan Monthly Cost(USD) | Free (optional donations for commercial use) | — | — |
| Programming Languages Supported(languages) | 50+ (with LLM-dependent support) | 20+ languages | |
| Base Cost (Monthly)(USD) | $0 (self-hosted) | — | — |
| Supported IDE Count(IDEs) | 5 major IDEs | — | — |
| GitHub Stars (as of 2026)(thousands) | 13,000+ | — | — |
| Monthly Cost (Individual)(USD) | Free (+ API costs) | $15 | |
| AI Model Options(count) | 5+ (Claude, GPT-4, Llama 2, custom, local) | — | — |
| Base Monthly Cost(USD) | Free | — | — |
| Supported AI Models(count) | 6+ (Claude, GPT-4, Ollama, local) | — | — |
| IDE Compatibility(count) | 5+ (VS Code, JetBrains, Vim) | — | — |
| Code Context Window(tokens) | 8000-200000 (model-dependent) | — | — |
| Real-time Suggestion Speed(ms latency) | 400-800 | — | — |
| Estimated Active Users(thousands) | 150 | — | — |
| User Base Size(millions of developers) | ~0.05 million (2025 estimate) | — | — |
| Code Completion Latency(milliseconds) | 800-1200 | 80-120ms | |
| Number of Supported IDEs(count) | 4 | 15+ | |
| Team Size Limit (Free Tier)(users) | Unlimited | 1 | — |
| Time to First Response (Small Prompt)(seconds) | 2-5 sec (Claude/GPT-4) | — | — |
| Monthly Cost at Heavy Usage(USD) | $50-150 for power users | — | — |
| Available Models(count) | 10+ providers supported | — | — |
| Minimum RAM Requirement(GB) | 2-4 GB (extension only) | — | — |
| Setup Time to First Use(minutes) | 15-30 minutes (model download + config) | — | — |
| Average Code Completion Time(seconds) | 5-15 seconds (hardware-dependent) | — | — |
| IDE Platform Support Count(platforms) | 4 major platforms (VS Code, JetBrains, Vim, Neovim) | — | — |
| Pro Plan Monthly Cost(USD) | $0 (open-source) or hosted option available | $12/month | |
| Avg Code Completion Speed(seconds) | 2 | — | — |
| Maximum Context Window(tokens) | 200,000 | 30,000 tokens | |
| Supported IDE Platforms(count) | 6+ | — | — |
| AI Provider Options(count) | 10+ | — | — |
| Annual Cost(USD) | $0 | — | — |
| Base Pricing (Monthly)(USD) | Free + $20 Pro | Free + $15 Pro | |
| IDE Integration Support | 3 major editors (VS Code, JetBrains, Vim) | — | — |
| LLM Provider Options | 15+ providers including premium APIs | — | — |
| Minimum Installation Time(minutes) | 2 minutes (IDE extension) | — | — |
| Runtime Memory Usage (Idle)(MB) | 300-500 MB | — | — |
| Privacy Level (0=cloud-only, 100=fully local)(score) | 80 (optional local via Ollama backend) | — | — |
| Monthly Subscription Cost(USD) | $0 | — | — |
| Annual Cost per Developer(USD) | $0 | — | — |
| Code Completion Acceptance Rate(%) | 75-82% | — | — |
| Supported LLM Backends(count) | 15+ models | — | — |
| GitHub Stars (Community Adoption)(count) | 19,000 stars | — | — |
| Project Launch Year(year) | 2024 | — | — |
| Subscription Cost (Monthly)(USD) | Free | $15 (Professional) | |
| IDE Support Count(IDEs) | 1 (VS Code) | 15+ IDEs | |
| LLM Model Flexibility(models supported) | 4+ (Claude, Llama, GPT-4, Mistral) | 2 (Tabnine + OpenAI) | |
| GitHub Stars(stars) | 500+ | 5000+ | |
| Inference Speed (Llama 2 7B)(tokens/second) | 120-200 (with cloud LLMs like Claude) | — | — |
| Monthly Cost (Single LLM)(USD) | $20 (Claude 3) | — | — |
| Pricing (Base Tier)(USD/month) | Free (open-source) | — | — |
| IDE Integrations(count) | 4 major (VS Code, JetBrains, Vim, Neovim) | — | — |
| Model Selection Options(count) | 8+ (Claude, GPT-4, Llama, Mistral, local models) | — | — |
| Enterprise Customer Base(count) | ~50-100 (estimated) | — | — |
| Monthly Cost (Business)(USD) | $30+ | $30+ | |
| Code Completion Accuracy(%) | 87% | 87% | |
| Free Trial Duration(days) | 14 | 14 | |
| Free Tier Monthly Completions(count) | Limited (Pro required for unlimited) | Limited (Pro required for unlimited) | |
| Supported Programming Languages(count) | 22+ languages | 22+ languages | |
| Average Latency(milliseconds) | 200-300ms | 200-300ms | |
| IDE/Editor Integrations(count) | 30+ integrations | 30+ integrations | |
| Enterprise Compliance Certifications(count of major certifications) | SOC 2, HIPAA, GDPR, ISO 27001 | SOC 2, HIPAA, GDPR, ISO 27001 | |
| Base Monthly Price(USD) | $12 | $12 | |
| Max Context Window Size(KB) | 100 KB | 100 KB | |
| Setup Time (Minutes)(minutes) | 5-10 minutes | 5-10 minutes | |
| Product Maturity(years) | 7+ years in production | 7+ years in production | |
| Monthly Cost (Pro/Professional Tier)(USD) | $12/month | $12/month | |
| Supported Languages(languages) | 30+ languages | 30+ languages | |
| AWS Service Integration Depth(services) | Basic AWS SDK suggestions | Basic AWS SDK suggestions | |
| Supported IDEs(count) | 6 IDEs | 6 IDEs | |
| Monthly Cost (Individual Plan)(USD) | $12/month | $12/month | |
| Annual Cost (Individual Plan)(USD) | $144/year | $144/year | |
| Multi-Line Code Generation Accuracy(percent relevance) | 78% | 78% | |
| Single-Line Code Completion Accuracy(percent relevance) | 87% | 87% | |
| Average Response Latency (Cloud)(milliseconds) | 290ms average | 290ms average | |
| Response Latency(seconds) | 45-80ms | 45-80ms | |
| Free Tier Cost(USD/month) | Free (unlimited) | Free (unlimited) | |
| Enterprise Deployment Options(options) | 3 (Cloud, VPC, On-premise) | 3 (Cloud, VPC, On-premise) | |
| Estimated Monthly Cost (Pro Tier)(USD/month) | $12/month | $12/month | |
| Pro Plan Cost(USD/month) | $12/month | $12/month | |
| Supported Editors/IDEs(count) | 25+ editors | 25+ editors | |
| Code Completion Accuracy (HumanEval)(%) | 72% | 72% | |
| Monthly Pro Subscription Cost(USD) | $12/month | $12/month | |
| Average Code Completion Latency(milliseconds) | ~200ms | ~200ms | |
| Professional Plan Monthly Cost(USD) | $19/month | $19/month |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
C
3ContinueEvenly matched1 tie
T
3TabnineContinue
Attribute
Tabnine
- Local/Self-hosted + Cloud(winner)Deployment ModelCloud-based SaaS
- Free (open-source)(winner)Pricing Model$25-40/month (Pro tier)
- Multiple open-source models (Llama 2, Mistral, CodeStral)LLM SupportProprietary + GPT-4 integration
- 800-1200ms (local)Average Code Completion Speed150-300ms (cloud)(winner)
- No native supportEnterprise SSO SupportSAML 2.0 + SCIM provisioning(winner)
- VSCode, JetBrains IDEs, VimIDE CoverageVSCode, JetBrains, Visual Studio, Sublime(winner)
- Optional local processing, no code stored(winner)Data Privacy (Code Handling)Optional on-premise, encrypted cloud default
- Deployment Model
Continue
Local/Self-hosted + Cloud(winner)
Tabnine
Cloud-based SaaS
- Pricing Model
Continue
Free (open-source)(winner)
Tabnine
$25-40/month (Pro tier)
- LLM Support
Continue
Multiple open-source models (Llama 2, Mistral, CodeStral)
Tabnine
Proprietary + GPT-4 integration
- Average Code Completion Speed
Continue
800-1200ms (local)
Tabnine
150-300ms (cloud)(winner)
- Enterprise SSO Support
Continue
No native support
Tabnine
SAML 2.0 + SCIM provisioning(winner)
- IDE Coverage
Continue
VSCode, JetBrains IDEs, Vim
Tabnine
VSCode, JetBrains, Visual Studio, Sublime(winner)
- Data Privacy (Code Handling)
Continue
Optional local processing, no code stored(winner)
Tabnine
Optional on-premise, encrypted cloud default
Full Comparison
| Attribute | Continue | Tabnine |
|---|---|---|
| Initial Setup Time(minutes) | 10-20 (API key + config required) | — |
| Setup Time to First Use(minutes) | 15-30 minutes (model download + config) | — |
| Free Tier Autocomplete Limit(requests/month) | Unlimited with local models | — |
| Autocomplete Latency(milliseconds) | 200-500ms average | — |
| Code Context Window(tokens) | 8000-200000 (model-dependent) | — |
| Real-time Suggestion Speed(ms latency) | 400-800 | — |
| Code Completion Latency(milliseconds) | 800-1200 | 80-120ms(winner) |
| Time to First Response (Small Prompt)(seconds) | 2-5 sec (Claude/GPT-4) | — |
Show 14 more attributesAverage Code Completion Time(seconds) 5-15 seconds (hardware-dependent) — Avg Code Completion Speed(seconds) 2 — Runtime Memory Usage (Idle)(MB) 300-500 MB — Code Completion Acceptance Rate(%) 75-82% — Inference Speed (Llama 2 7B)(tokens/second) 120-200 (with cloud LLMs like Claude) — Code Completion Accuracy(%) 87% — Average Latency(milliseconds) 200-300ms — Maximum Local Model Size(GB) 6 GB (locally downloadable) — Multi-Line Code Generation Accuracy(percent relevance) 78% — Single-Line Code Completion Accuracy(percent relevance) 87% — Average Response Latency (Cloud)(milliseconds) 290ms average — Response Latency(seconds) 45-80ms — Code Completion Accuracy (HumanEval)(%) 72% — Average Code Completion Latency(milliseconds) ~200ms — | ||
| Context Window Size(tokens) | Up to 100,000+ tokens(winner) | 2,048 tokens |
| Maximum Context Window(tokens) | 200,000(winner) | 30,000 tokens |
| Supported IDEs Count(IDEs) | VS Code, JetBrains suite, Vim, Neovim (4 major platforms) | — |
| Supported IDE Count(IDEs) | 5 major IDEs | — |
| Number of Supported IDEs(count) | 4 | 15+(winner) |
| IDE Platform Support Count(platforms) | 4 major platforms (VS Code, JetBrains, Vim, Neovim) | — |
| Supported IDE Platforms(count) | 6+ | — |
Show 7 more attributesIDE Support Count(IDEs) 1 (VS Code) 15+ IDEs IDE Integrations(count) 4 major (VS Code, JetBrains, Vim, Neovim) — Supported Programming Languages(count) 22+ languages — IDE/Editor Integrations(count) 30+ integrations — Supported IDEs(count) 6 IDEs — Supported IDEs/Editors(count) 20+ (includes Vim, Emacs, Sublime Text) — Supported Editors/IDEs(count) 25+ editors — | ||
| Paid Plan Monthly Cost(USD) | Free (optional donations for commercial use) | — |
| Base Cost (Monthly)(USD) | $0 (self-hosted) | — |
| Free Tier Code Completions(requests/month) | Unlimited (depends on API usage) | Unlimited |
| Monthly Cost (Individual)(USD) | Free (+ API costs)(winner) | $15 |
| Base Monthly Cost(USD) | Free | — |
Show 21 more attributesFree Tier Monthly Limit(completions/month) Unlimited (fully free and open-source) — Pro Plan Monthly Cost(USD) $0 (open-source) or hosted option available $12/month Monthly Cost(USD) $0 — Annual Cost(USD) $0 — Cost (Base Usage)(USD/month) $0 (free + optional API costs) — Monthly Subscription Cost(USD) $0 — Annual Cost per Developer(USD) $0 — Subscription Cost (Monthly)(USD) Free $15 (Professional) Monthly Cost (Single LLM)(USD) $20 (Claude 3) — Monthly Cost (Business)(USD) $30+ — Free Tier Monthly Completions(count) Limited (Pro required for unlimited) — Base Monthly Price(USD) $12 — Free Tier Availability(boolean) Yes (limited completions) — Monthly Cost (Pro/Professional Tier)(USD) $12/month — Monthly Cost (Individual Plan)(USD) $12/month — Annual Cost (Individual Plan)(USD) $144/year — Free Tier Cost(USD/month) Free (unlimited) — Estimated Monthly Cost (Pro Tier)(USD/month) $12/month — Free Tier Monthly Completion Limit(completions) Unlimited* — Monthly Pro Subscription Cost(USD) $12/month — Professional Plan Monthly Cost(USD) $19/month — | ||
| Programming Languages Supported(languages) | 50+ (with LLM-dependent support)(winner) | 20+ languages |
| AI Model Choices(models) | Claude, GPT-4, Llama, Mistral, local | — |
| Supported AI Models(count) | 6+ (Claude, GPT-4, Ollama, local) | — |
| IDE Integration | Native VS Code extension | — |
| LLM Provider Options | 15+ providers including premium APIs | — |
Show 10 more attributesSupported LLM Backends(count) 15+ models — LLM Model Flexibility(models supported) 4+ (Claude, Llama, GPT-4, Mistral) 2 (Tabnine + OpenAI) Offline Capability(text) Full offline with local models — Offline Functionality Full offline support — Multi-File Editing Not supported — Offline Mode Support(boolean) Yes, full offline support — Multiline Code Completion (Native) Pro plan only — Code Explanation Feature Available (Pro/Enterprise) — AI-Powered Debugging Not available — Multi-File Refactoring Limited to single files — | ||
| Data Processing Location | Local (on-device) | Cloud (with self-hosted option) |
| Local Model Support(boolean) | Yes (Ollama, LLaMA) | — |
| Local Execution Support(boolean) | Yes (full local support) | — |
| Data Privacy (Cloud Processing)(boolean) | Optional (local or cloud) | — |
| Local Processing Option(supported) | Yes (default) | Yes (optional) |
Show 1 more attributeLocal Privacy Mode Available Yes (enterprise option) — | ||
| GitHub Stars (as of 2026)(thousands) | 13,000+ | — |
| Customization via Config | Full JSON config (prompts, model params, shortcuts) | — |
| AI Provider Options(count) | 10+ | — |
| Model Selection Options(count) | 8+ (Claude, GPT-4, Llama, Mistral, local models) | — |
| AI Model Options(count) | 5+ (Claude, GPT-4, Llama 2, custom, local) | — |
| IDE Support | VS Code, IntelliJ, PyCharm, CLion, Rider, WebStorm | — |
| IDE Compatibility(count) | 5+ (VS Code, JetBrains, Vim) | — |
| IDE Integration Support | 3 major editors (VS Code, JetBrains, Vim) | — |
| AWS Service Integration Depth(services) | Basic AWS SDK suggestions | — |
| Estimated Active Users(thousands) | 150 | — |
| GitHub Stars (Community Adoption)(count) | 19,000 stars | — |
| User Base Size(millions of developers) | ~0.05 million (2025 estimate) | — |
| Enterprise SLA Support(boolean) | No (community-driven) | — |
| Enterprise SSO Authentication(supported) | No | Yes (SAML 2.0) |
| Enterprise SSO Support | No | Yes |
| Enterprise On-Premise Deployment(boolean) | Yes (Enterprise plan) | — |
| Open Source Availability | Full open-source (Apache 2.0) | Proprietary closed-source |
| On-Premise Deployment | Available | — |
| Self-Hosted Option(Yes/No) | Available | — |
| Enterprise Deployment Options(options) | 3 (Cloud, VPC, On-premise) | — |
| Team Size Limit (Free Tier)(users) | Unlimited | 1 |
| Training Data Cutoff(month/year) | 2024 | 2024 |
| Monthly Cost at Heavy Usage(USD) | $50-150 for power users | — |
| Base Pricing (Monthly)(USD) | Free + $20 Pro | Free + $15 Pro(winner) |
| Pricing (Base Tier)(USD/month) | Free (open-source) | — |
| Enterprise Plan Cost(USD/month per user) | Self-hosted (variable) | — |
| Available Models(count) | 10+ providers supported | — |
| Internet Dependency(text) | Required for cloud models | — |
| Minimum RAM Requirement(GB) | 2-4 GB (extension only) | — |
| Data Privacy Level(null) | Depends on provider, some cloud processing | — |
| Data Privacy Model | Local-only, zero cloud transmission | — |
| Privacy Level (0=cloud-only, 100=fully local)(score) | 80 (optional local via Ollama backend) | — |
| Data Privacy (Local Execution)(text) | Fully local option available | — |
| Data Privacy Mode(text) | No data transmission with local setup | — |
Show 4 more attributesLocal Deployment Option Enterprise tier only — Code Privacy (Codebase Training)(available) Yes - fine-tuning on private repos — On-Premise Deployment Available Yes (Pro+ plans) — Data Privacy (On-Device Processing) Yes (local mode available) — | ||
| Open-Source | Yes (GitHub public repository) | — |
| Training Data Size(repositories) | Varies by provider | — |
| Minimum Installation Time(minutes) | 2 minutes (IDE extension) | — |
| API Documentation Quality | Comprehensive with config examples | — |
| Setup Time(minutes) | 15-30 (with model download) | — |
| Project Launch Year(year) | 2024 | — |
| GitHub Stars(stars) | 500+ | 5000+(winner) |
| Setup Complexity | High (manual LLM configuration required) | Low (install and use immediately) |
| Setup Time (Minutes)(minutes) | 5-10 minutes | — |
| Data Privacy | Depends on LLM vendor (Claude, OpenAI, Google store data per ToS) | — |
| Available LLMs | GPT-4, Claude 3, Gemini, custom servers | — |
| Enterprise Customer Base(count) | ~50-100 (estimated) | — |
| Free Trial Duration(days) | 14 | — |
| Enterprise Compliance Certifications(count of major certifications) | SOC 2, HIPAA, GDPR, ISO 27001 | — |
| SOC 2 Type II Certification | Certified | — |
| Max Context Window Size(KB) | 100 KB | — |
| Product Maturity(years) | 7+ years in production | — |
| Supported Languages(languages) | 30+ languages | — |
| Local Processing Available(boolean) | Yes (hybrid mode) | — |
| Local Processing Capability | Available (on-device models) | — |
| Pro Plan Cost(USD/month) | $12/month | — |
| HIPAA Compliance(Yes/No) | Available | — |
CContinue
TTabnine
Initial Setup Time(minutes)
10-20 (API key + config required)
—
Setup Time to First Use(minutes)
15-30 minutes (model download + config)
—
Free Tier Autocomplete Limit(requests/month)
Unlimited with local models
—
Autocomplete Latency(milliseconds)
200-500ms average
—
Code Context Window(tokens)
8000-200000 (model-dependent)
—
Real-time Suggestion Speed(ms latency)
400-800
—
Code Completion Latency(milliseconds)
800-1200
80-120ms
Time to First Response (Small Prompt)(seconds)
2-5 sec (Claude/GPT-4)
—
Show 14 more attributes
Average Code Completion Time(seconds)
5-15 seconds (hardware-dependent)
—
Avg Code Completion Speed(seconds)
2
—
Runtime Memory Usage (Idle)(MB)
300-500 MB
—
Code Completion Acceptance Rate(%)
75-82%
—
Inference Speed (Llama 2 7B)(tokens/second)
120-200 (with cloud LLMs like Claude)
—
Code Completion Accuracy(%)
87%
—
Average Latency(milliseconds)
200-300ms
—
Maximum Local Model Size(GB)
6 GB (locally downloadable)
—
Multi-Line Code Generation Accuracy(percent relevance)
78%
—
Single-Line Code Completion Accuracy(percent relevance)
87%
—
Average Response Latency (Cloud)(milliseconds)
290ms average
—
Response Latency(seconds)
45-80ms
—
Code Completion Accuracy (HumanEval)(%)
72%
—
Average Code Completion Latency(milliseconds)
~200ms
—
Context Window Size(tokens)
Up to 100,000+ tokens
2,048 tokens
Maximum Context Window(tokens)
200,000
30,000 tokens
Supported IDEs Count(IDEs)
VS Code, JetBrains suite, Vim, Neovim (4 major platforms)
—
Supported IDE Count(IDEs)
5 major IDEs
—
Number of Supported IDEs(count)
4
15+
IDE Platform Support Count(platforms)
4 major platforms (VS Code, JetBrains, Vim, Neovim)
—
Supported IDE Platforms(count)
6+
—
Show 7 more attributes
IDE Support Count(IDEs)
1 (VS Code)
15+ IDEs
IDE Integrations(count)
4 major (VS Code, JetBrains, Vim, Neovim)
—
Supported Programming Languages(count)
22+ languages
—
IDE/Editor Integrations(count)
30+ integrations
—
Supported IDEs(count)
6 IDEs
—
Supported IDEs/Editors(count)
20+ (includes Vim, Emacs, Sublime Text)
—
Supported Editors/IDEs(count)
25+ editors
—
Paid Plan Monthly Cost(USD)
Free (optional donations for commercial use)
—
Base Cost (Monthly)(USD)
$0 (self-hosted)
—
Free Tier Code Completions(requests/month)
Unlimited (depends on API usage)
Unlimited
Monthly Cost (Individual)(USD)
Free (+ API costs)
$15
Base Monthly Cost(USD)
Free
—
Show 21 more attributes
Free Tier Monthly Limit(completions/month)
Unlimited (fully free and open-source)
—
Pro Plan Monthly Cost(USD)
$0 (open-source) or hosted option available
$12/month
Monthly Cost(USD)
$0
—
Annual Cost(USD)
$0
—
Cost (Base Usage)(USD/month)
$0 (free + optional API costs)
—
Monthly Subscription Cost(USD)
$0
—
Annual Cost per Developer(USD)
$0
—
Subscription Cost (Monthly)(USD)
Free
$15 (Professional)
Monthly Cost (Single LLM)(USD)
$20 (Claude 3)
—
Monthly Cost (Business)(USD)
$30+
—
Free Tier Monthly Completions(count)
Limited (Pro required for unlimited)
—
Base Monthly Price(USD)
$12
—
Free Tier Availability(boolean)
Yes (limited completions)
—
Monthly Cost (Pro/Professional Tier)(USD)
$12/month
—
Monthly Cost (Individual Plan)(USD)
$12/month
—
Annual Cost (Individual Plan)(USD)
$144/year
—
Free Tier Cost(USD/month)
Free (unlimited)
—
Estimated Monthly Cost (Pro Tier)(USD/month)
$12/month
—
Free Tier Monthly Completion Limit(completions)
Unlimited*
—
Monthly Pro Subscription Cost(USD)
$12/month
—
Professional Plan Monthly Cost(USD)
$19/month
—
Programming Languages Supported(languages)
50+ (with LLM-dependent support)
20+ languages
AI Model Choices(models)
Claude, GPT-4, Llama, Mistral, local
—
Supported AI Models(count)
6+ (Claude, GPT-4, Ollama, local)
—
IDE Integration
Native VS Code extension
—
LLM Provider Options
15+ providers including premium APIs
—
Show 10 more attributes
Supported LLM Backends(count)
15+ models
—
LLM Model Flexibility(models supported)
4+ (Claude, Llama, GPT-4, Mistral)
2 (Tabnine + OpenAI)
Offline Capability(text)
Full offline with local models
—
Offline Functionality
Full offline support
—
Multi-File Editing
Not supported
—
Offline Mode Support(boolean)
Yes, full offline support
—
Multiline Code Completion (Native)
Pro plan only
—
Code Explanation Feature
Available (Pro/Enterprise)
—
AI-Powered Debugging
Not available
—
Multi-File Refactoring
Limited to single files
—
Data Processing Location
Local (on-device)
Cloud (with self-hosted option)
Local Model Support(boolean)
Yes (Ollama, LLaMA)
—
Local Execution Support(boolean)
Yes (full local support)
—
Data Privacy (Cloud Processing)(boolean)
Optional (local or cloud)
—
Local Processing Option(supported)
Yes (default)
Yes (optional)
Show 1 more attribute
Local Privacy Mode Available
Yes (enterprise option)
—
GitHub Stars (as of 2026)(thousands)
13,000+
—
Customization via Config
Full JSON config (prompts, model params, shortcuts)
—
AI Provider Options(count)
10+
—
Model Selection Options(count)
8+ (Claude, GPT-4, Llama, Mistral, local models)
—
AI Model Options(count)
5+ (Claude, GPT-4, Llama 2, custom, local)
—
IDE Support
VS Code, IntelliJ, PyCharm, CLion, Rider, WebStorm
—
IDE Compatibility(count)
5+ (VS Code, JetBrains, Vim)
—
IDE Integration Support
3 major editors (VS Code, JetBrains, Vim)
—
AWS Service Integration Depth(services)
Basic AWS SDK suggestions
—
Estimated Active Users(thousands)
150
—
GitHub Stars (Community Adoption)(count)
19,000 stars
—
User Base Size(millions of developers)
~0.05 million (2025 estimate)
—
Enterprise SLA Support(boolean)
No (community-driven)
—
Enterprise SSO Authentication(supported)
No
Yes (SAML 2.0)
Enterprise SSO Support
No
Yes
Enterprise On-Premise Deployment(boolean)
Yes (Enterprise plan)
—
Open Source Availability
Full open-source (Apache 2.0)
Proprietary closed-source
On-Premise Deployment
Available
—
Self-Hosted Option(Yes/No)
Available
—
Enterprise Deployment Options(options)
3 (Cloud, VPC, On-premise)
—
Team Size Limit (Free Tier)(users)
Unlimited
1
Training Data Cutoff(month/year)
2024
2024
Monthly Cost at Heavy Usage(USD)
$50-150 for power users
—
Base Pricing (Monthly)(USD)
Free + $20 Pro
Free + $15 Pro
Pricing (Base Tier)(USD/month)
Free (open-source)
—
Enterprise Plan Cost(USD/month per user)
Self-hosted (variable)
—
Available Models(count)
10+ providers supported
—
Internet Dependency(text)
Required for cloud models
—
Minimum RAM Requirement(GB)
2-4 GB (extension only)
—
Data Privacy Level(null)
Depends on provider, some cloud processing
—
Data Privacy Model
Local-only, zero cloud transmission
—
Privacy Level (0=cloud-only, 100=fully local)(score)
80 (optional local via Ollama backend)
—
Data Privacy (Local Execution)(text)
Fully local option available
—
Data Privacy Mode(text)
No data transmission with local setup
—
Show 4 more attributes
Local Deployment Option
Enterprise tier only
—
Code Privacy (Codebase Training)(available)
Yes - fine-tuning on private repos
—
On-Premise Deployment Available
Yes (Pro+ plans)
—
Data Privacy (On-Device Processing)
Yes (local mode available)
—
Open-Source
Yes (GitHub public repository)
—
Training Data Size(repositories)
Varies by provider
—
Minimum Installation Time(minutes)
2 minutes (IDE extension)
—
API Documentation Quality
Comprehensive with config examples
—
Setup Time(minutes)
15-30 (with model download)
—
Project Launch Year(year)
2024
—
GitHub Stars(stars)
500+
5000+
Setup Complexity
High (manual LLM configuration required)
Low (install and use immediately)
Setup Time (Minutes)(minutes)
5-10 minutes
—
Data Privacy
Depends on LLM vendor (Claude, OpenAI, Google store data per ToS)
—
Available LLMs
GPT-4, Claude 3, Gemini, custom servers
—
Enterprise Customer Base(count)
~50-100 (estimated)
—
Free Trial Duration(days)
14
—
Enterprise Compliance Certifications(count of major certifications)
SOC 2, HIPAA, GDPR, ISO 27001
—
SOC 2 Type II Certification
Certified
—
Max Context Window Size(KB)
100 KB
—
Product Maturity(years)
7+ years in production
—
Supported Languages(languages)
30+ languages
—
Local Processing Available(boolean)
Yes (hybrid mode)
—
Local Processing Capability
Available (on-device models)
—
Pro Plan Cost(USD/month)
$12/month
—
HIPAA Compliance(Yes/No)
Available
—
Pros & Cons
10 pros·6 cons across both
C
T
C
Continue
+5-3
Pros
- Free and open-source with no licensing costs
- Runs locally with optional privacy-first architecture
- Support for multiple open-source models (Llama 2, Mistral, CodeStral)
- Works across VSCode, JetBrains, Vim, and Neovim
- Full control over which LLM and data handling methods to use
Cons
- Significantly slower inference (800-1200ms vs cloud alternatives)
- Requires local GPU or CPU resources for optimal performance
- Limited enterprise features like team management and usage analytics
T
Tabnine
+5-3
Pros
- Fast cloud-based inference (150-300ms latency)
- Enterprise SSO/SAML authentication with audit logs
- Coverage across 5+ IDEs including Visual Studio and Sublime
- Team collaboration features with code sharing and usage reports
- Optional on-premise/VPC deployment for regulated industries
Cons
- Paid pricing starting at $25/month per user for Pro tier
- Code processed on cloud servers by default (privacy considerations)
- Dependency on proprietary model training raises IP transparency concerns
Frequently Asked Questions
5 questions
Yes, Continue is open-source under Apache 2.0 license with no cost. However, you may need to host your own LLM server or use a free API provider like Ollama. Some optional cloud features have minimal costs, but the core extension is entirely free.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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